Efficient quadratic ising hamiltonian generation with qubit reduction

This invention outlines a software system designed to prepare complex optimization problems for quantum computers. It works by transforming the problem's variables and constraints into a specific mathematical format, known as a quadratic pseudo-boolean optimization problem. The system then automatically reduces the number of variables required, which is essential for efficiently running these problems on quantum hardware where computing units (qubits) are often limited. The claims focus on a system with components for problem formulation and variable reduction.